def get_task_html(self):
MIN_SCORE = 0
MAX_SCORE = 3
crippled = not task_extrastrings_exist(self.EXTRASTRING_TASKNAME)
a = self.anxiety_score()
d = self.depression_score()
h = u"""
<div class="summary">
<table class="summary">
{is_complete_tr}
<tr>
<td>{sa}</td><td>{a} / 21</td>
</tr>
<tr>
<td>{sd}</td><td>{d} / 21</td>
</tr>
</table>
</div>
<div class="explanation">
All questions are scored from 0–3
(0 least symptomatic, 3 most symptomatic).
</div>
<table class="taskdetail">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer</th>
</tr>
""".format(
is_complete_tr=self.get_is_complete_tr(),
sa=WSTRING("hads_anxiety_score"),
a=answer(a),
sd=WSTRING("hads_depression_score"),
d=answer(d),
)
for n in xrange(1, self.NQUESTIONS + 1):
if crippled:
q = "HADS: Q{}".format(n)
else:
q = u"Q{}. {}".format(
n,
WXSTRING(self.EXTRASTRING_TASKNAME, "q" + str(n) + "_stem")
)
if n in self.ANXIETY_QUESTIONS:
q += " (A)"
if n in self.DEPRESSION_QUESTIONS:
q += " (D)"
v = getattr(self, "q" + str(n))
if crippled or v is None or v < MIN_SCORE or v > MAX_SCORE:
a = v
else:
a = u"{}: {}".format(v, WXSTRING(self.EXTRASTRING_TASKNAME,
"q{}_a{}".format(n, v)))
h += tr_qa(q, a)
h += u"""
</table>
""" + DATA_COLLECTION_UNLESS_UPGRADED_DIV
return h
def answer_row_html(self, q):
qtext = WSTRING("rand36_q" + str(q))
v = getattr(self, "q" + str(q))
atext = self.answer_text(q, v)
s = self.recode(q)
return tr(
qtext,
answer(v) + u": " + answer(atext),
answer(s, formatter_answer=identity)
)
def four_column_row(self, q1, a1, q2, a2, default=""):
return u"""
<tr>
<td>{}</td><td>{}</td>
<td>{}</td><td>{}</td>
</tr>
""".format(
q1,
answer(a1, default=default),
q2,
answer(a2, default=default),
)
def get_question_rows(first, last):
h = u""
for q in xrange(first, last + 1):
f = getattr(self, "frequency" + str(q))
d = getattr(self, "distress" + str(q))
fa = (u"{}: {}".format(f, get_from_dict(FREQ_DICT, f))
if f is not None else None)
da = (u"{}: {}".format(d, get_from_dict(DISTRESS_DICT, d))
if d is not None else None)
h += tr(
WSTRING("cbir_q" + str(q)),
answer(fa),
answer(da),
)
return h
def get_task_html(self):
score = self.total_score()
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 63")
h += u"""
</table>
</div>
<div class="explanation">
All questions are scored from 0–3
(0 free of symptoms, 3 most symptomatic).
</div>
<table class="taskdetail">
<tr>
<th width="70%">Question</th>
<th width="30%">Answer</th>
</tr>
"""
h += tr_qa(WSTRING("bdi_which_scale"), ws.webify(self.bdi_scale))
for q in xrange(1, Bdi.NQUESTIONS + 1):
h += tr_qa(u"{} {}".format(WSTRING("question"), q), getattr(self, "q" + str(q)))
h += (
u"""
</table>
"""
+ DATA_COLLECTION_ONLY_DIV
)
return h
def get_task_html(self):
score = self.total_score()
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 15")
h += u"""
</table>
</div>
<div class="explanation">
Ratings are over the last 1 week.
</div>
<table class="taskdetail">
<tr>
<th width="70%">Question</th>
<th width="30%">Answer</th>
</tr>
"""
for q in range(1, self.NQUESTIONS + 1):
suffix = u" †" if q in self.SCORE_IF_YES else u" *"
h += tr_qa(
str(q) + ". " + WSTRING("gds15_q" + str(q)) + suffix,
getattr(self, "q" + str(q))
)
h += u"""
</table>
<div class="footnotes">
(†) ‘Y’ scores 1; ‘N’ scores 0.
(*) ‘Y’ scores 0; ‘N’ scores 1.
</div>
"""
return h
def get_task_html(self):
score = self.total_score()
exceeds_cutoff = score >= 2
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 4")
h += tr_qa(WSTRING("cage_over_threshold"), get_yes_no(exceeds_cutoff))
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="70%">Question</th>
<th width="30%">Answer</th>
</tr>
"""
for q in range(1, Cage.NQUESTIONS + 1):
h += tr_qa(str(q) + u" — " + WSTRING("cage_q" + str(q)),
get_yes_no_none(getattr(self, "q" + str(q))))
h += u"""
</table>
"""
return h
def get_task_html(self):
OPTION_DICT = {None: None}
for a in range(self.MIN_SCORE, self.MAX_SCORE + 1):
OPTION_DICT[a] = WSTRING("zbi_a" + str(a))
h = u"""
<div class="summary">
<table class="summary">
{complete_tr}
<tr>
<td>Total score (/ 48)</td>
<td>{total}</td>
</td>
</table>
</div>
<table class="taskdetail">
{tr_responder}
{tr_relationship}
</table>
<table class="taskdetail">
<tr>
<th width="75%">Question</th>
<th width="25%">Answer (0–4)</th>
</tr>
""".format(
complete_tr=self.get_is_complete_tr(),
total=answer(self.total_score()),
tr_responder=tr_qa(u"Responder’s name", self.responder_name),
tr_relationship=tr_qa(u"Responder’s relationship to patient",
self.responder_relationship),
)
for q in xrange(1, self.NQUESTIONS + 1):
a = getattr(self, "q" + str(q))
fa = (u"{}: {}".format(a, get_from_dict(OPTION_DICT, a))
if a is not None else None)
h += tr(
WXSTRING(
self.EXTRASTRING_TASKNAME,
"q" + str(q),
"[ZBI: Q{}]".format(q)
),
answer(fa)
)
h += u"""
</table>
""" + DATA_COLLECTION_UNLESS_UPGRADED_DIV
return h
def get_task_html(self):
score = self.total_score()
severity = self.severity()
ANSWER_DICTS_DICT = {}
for q in repeat_fieldname("q", 1, Ciwa.NSCOREDQUESTIONS):
d = {None: None}
for option in range(0, 8):
if option > 4 and q == "q10":
continue
d[option] = WSTRING("ciwa_" + q + "_option" + str(option))
ANSWER_DICTS_DICT[q] = d
h = self.get_standard_clinician_block() + u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 67")
h += tr_qa(WSTRING("ciwa_severity") + " <sup>[1]</sup>", severity)
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="35%">Question</th>
<th width="65%">Answer</th>
</tr>
"""
for q in range(1, Ciwa.NSCOREDQUESTIONS + 1):
h += tr_qa(
WSTRING("ciwa_q" + str(q) + "_s"),
get_from_dict(ANSWER_DICTS_DICT["q" + str(q)],
getattr(self, "q" + str(q)))
)
h += subheading_spanning_two_columns(WSTRING("ciwa_vitals_title"))
h += tr_qa(WSTRING("ciwa_t"), self.t)
h += tr_qa(WSTRING("ciwa_hr"), self.hr)
h += tr(WSTRING("ciwa_bp"),
answer(self.sbp) + " / " + answer(self.dbp))
h += tr_qa(WSTRING("ciwa_rr"), self.rr)
h += u"""
</table>
<div class="footnotes">
[1] Total score ≥15 severe, ≥8 moderate, otherwise
mild/minimal.
</div>
"""
return h
def get_task_html(self):
score = self.total_score()
exceeds_cutoff_1 = score >= 6
exceeds_cutoff_2 = score >= 11
MAIN_DICT = {
None: None,
"Y": WSTRING("Yes"),
"N": WSTRING("No")
}
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 28")
h += tr_qa(WSTRING("dast_exceeds_standard_cutoff_1"),
get_yes_no(exceeds_cutoff_1))
h += tr_qa(WSTRING("dast_exceeds_standard_cutoff_2"),
get_yes_no(exceeds_cutoff_2))
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="80%">Question</th>
<th width="20%">Answer</th>
</tr>
"""
for q in range(1, Dast.NQUESTIONS + 1):
h += tr(
WSTRING("dast_q" + str(q)),
answer(get_from_dict(MAIN_DICT, getattr(self, "q" + str(q))))
+ u" — " + answer(str(self.get_score(q)))
)
h += u"""
</table>
<div class="copyright">
DAST: Copyright © Harvey A. Skinner and the Centre for
Addiction and Mental Health, Toronto, Canada.
Reproduced here under the permissions granted for
NON-COMMERCIAL use only. You must obtain permission from the
copyright holder for any other use.
</div>
"""
return h
def get_task_html(self):
Q8PROBLEMTYPE_DICT = {
None: None,
"A": WSTRING("honos65_q8problemtype_option_a"),
"B": WSTRING("honos65_q8problemtype_option_b"),
"C": WSTRING("honos65_q8problemtype_option_c"),
"D": WSTRING("honos65_q8problemtype_option_d"),
"E": WSTRING("honos65_q8problemtype_option_e"),
"F": WSTRING("honos65_q8problemtype_option_f"),
"G": WSTRING("honos65_q8problemtype_option_g"),
"H": WSTRING("honos65_q8problemtype_option_h"),
"I": WSTRING("honos65_q8problemtype_option_i"),
"J": WSTRING("honos65_q8problemtype_option_j"),
}
h = self.get_standard_clinician_block() + u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(self.total_score()) + " / 48")
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer <sup>[1]</sup></th>
</tr>
"""
h += tr_qa(WSTRING("honos_period_rated"), self.period_rated)
for i in range(1, 8 + 1):
h += tr_qa(
self.get_q(i),
self.get_answer(i, getattr(self, "q" + str(i)))
)
h += tr_qa(WSTRING("honos65_q8problemtype_s"),
get_from_dict(Q8PROBLEMTYPE_DICT, self.q8problemtype))
h += tr_qa(WSTRING("honos65_q8otherproblem_s"),
self.q8otherproblem)
for i in range(9, Honos.NQUESTIONS + 1):
h += tr_qa(
self.get_q(i),
self.get_answer(i, getattr(self, "q" + str(i)))
)
h += u"""
</table>
<div class="footnotes">
[1] 0 = no problem;
1 = minor problem requiring no action;
2 = mild problem but definitely present;
3 = moderately severe problem;
4 = severe to very severe problem;
9 = not known.
</div>
""" + Honos.COPYRIGHT_DIV
return h
def get_task_html(self):
score = self.total_score()
exceeds_cutoff = score >= 8
Q1_DICT = {None: None}
Q2_DICT = {None: None}
Q3_TO_8_DICT = {None: None}
Q9_TO_10_DICT = {None: None}
for option in xrange(0, 5):
Q1_DICT[option] = str(option) + u" – " + \
WSTRING("audit_q1_option" + str(option))
Q2_DICT[option] = str(option) + u" – " + \
WSTRING("audit_q2_option" + str(option))
Q3_TO_8_DICT[option] = str(option) + u" – " + \
WSTRING("audit_q3to8_option" + str(option))
if option != 1 and option != 3:
Q9_TO_10_DICT[option] = str(option) + u" – " + \
WSTRING("audit_q9to10_option" + str(option))
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 40")
h += tr_qa(WSTRING("audit_exceeds_standard_cutoff"),
get_yes_no(exceeds_cutoff))
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer</th>
</tr>
"""
h += tr_qa(WSTRING("audit_q1_s"), get_from_dict(Q1_DICT, self.q1))
h += tr_qa(WSTRING("audit_q2_s"), get_from_dict(Q2_DICT, self.q2))
for q in xrange(3, 8 + 1):
h += tr_qa(
WSTRING("audit_q" + str(q) + "_s"),
get_from_dict(Q3_TO_8_DICT, getattr(self, "q" + str(q)))
)
h += tr_qa(WSTRING("audit_q9_s"),
get_from_dict(Q9_TO_10_DICT, self.q9))
h += tr_qa(WSTRING("audit_q10_s"),
get_from_dict(Q9_TO_10_DICT, self.q10))
h += u"""
</table>
<div class="copyright">
AUDIT: Copyright © World Health Organization.
Reproduced here under the permissions granted for
NON-COMMERCIAL use only. You must obtain permission from the
copyright holder for any other use.
</div>
"""
return h
def get_task_html(self):
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("gaf_score"), answer(self.score))
h += u"""
</table>
</div>
""" + DATA_COLLECTION_ONLY_DIV
return h
def get_task_html(self):
h = self.get_standard_clinician_block() + u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr_qa("Total errors", self.n_errors())
h += tr_qa("Predicted full-scale IQ <sup>[1]</sup>", self.fsiq())
h += tr_qa("Predicted verbal IQ <sup>[2]</sup>", self.viq())
h += tr_qa("Predicted performance IQ <sup>[3]</sup>", self.piq())
h += u"""
</table>
</div>
<div class="explanation">
Estimates premorbid IQ by pronunciation of irregular words.
</div>
<table class="taskdetail">
<tr>
<th width="16%">Word</th><th width="16%">Correct?</th>
<th width="16%">Word</th><th width="16%">Correct?</th>
<th width="16%">Word</th><th width="16%">Correct?</th>
</tr>
"""
nwords = len(WORDLIST)
ncolumns = 3
nrows = int(math.ceil(float(nwords)/float(ncolumns)))
column = 0
row = 0
# x: word index (shown in top-to-bottom then left-to-right sequence)
for unused_loopvar in range(nwords):
x = (column * nrows) + row
if column == 0: # first column
h += u"<tr>"
h += td(ACCENTED_WORDLIST[x])
h += td(answer(getattr(self, WORDLIST[x])))
if column == (ncolumns - 1): # last column
h += u"</tr>"
row += 1
column = (column + 1) % ncolumns
h += u"""
</table>
<div class="footnotes">
[1] Full-scale IQ ≈ 127.7 – 0.826 × errors.
[2] Verbal IQ ≈ 129.0 – 0.919 × errors.
[3] Performance IQ ≈ 123.5 – 0.645 × errors.
</div>
<div class="copyright">
NART: Copyright © Hazel E. Nelson. Used with permission.
</div>
"""
return h
def get_task_html(self):
score = self.total_score()
likelihood = self.likelihood()
MAIN_DICT = {
None: None,
"Y": WSTRING("Yes"),
"N": WSTRING("No")
}
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 13")
h += tr_qa(WSTRING("smast_problem_likelihood") + " <sup>[1]</sup>",
likelihood)
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="80%">Question</th>
<th width="20%">Answer</th>
</tr>
"""
for q in range(1, Smast.NQUESTIONS + 1):
h += tr(
WSTRING("smast_q" + str(q)),
answer(get_from_dict(MAIN_DICT, getattr(self, "q" + str(q))))
+ u" — " + str(self.get_score(q))
)
h += u"""
</table>
<div class="footnotes">
[1] Total score ≥3 probable, ≥2 possible, 0–1 unlikely.
</div>
"""
return h
def get_task_html(self):
return self.get_standard_clinician_block() + u"""
<table class="taskdetail">
<tr class="subheading"><td>Description</td></tr>
<tr><td>{}</td></tr>
<tr class="subheading"><td>Photo</td></tr>
<tr><td>{}</td></tr>
</table>
""".format(
answer(ws.webify(self.description), default="(No description)",
default_for_blank_strings=True),
# ... xhtml2pdf crashes if the contents are empty...
self.get_blob_png_html(self.photo_blobid, self.rotation)
)
def get_task_html(self):
# Avoid tables - PDF generator crashes if text is too long.
h = self.get_standard_clinician_block() + u"""
<div class="heading">
{heading_location}
</div>
<div>
{location}
</div>
<div class="heading">
{heading_note}
</div>
<div>
{note}
</div>
""".format(
heading_location=WSTRING("location"),
location=answer(ws.webify(self.location),
default_for_blank_strings=True),
heading_note=WSTRING("progressnote_note"),
note=answer(ws.webify(self.note), default_for_blank_strings=True),
)
return h
def get_task_html(self):
score = self.total_score()
severity = self.severity()
ANSWER_DICT = {None: None}
for option in range(0, 4):
ANSWER_DICT[option] = (
str(option) + u" — " + WSTRING("gad7_a" + str(option))
)
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 21")
h += tr(WSTRING("gad7_anxiety_severity") + " <sup>[1]</sup>",
severity)
h += u"""
</table>
</div>
<div class="explanation">
Ratings are over the last 2 weeks.
</div>
<table class="taskdetail">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer</th>
</tr>
"""
for q in range(1, Gad7.NQUESTIONS + 1):
h += tr_qa(
WSTRING("gad7_q" + str(q)),
get_from_dict(ANSWER_DICT, getattr(self, "q" + str(q)))
)
h += u"""
</table>
<div class="footnotes">
[1] ≥15 severe, ≥10 moderate, ≥5 mild.
Score ≥10 identifies: generalized anxiety disorder with
sensitivity 89%, specificity 82% (Spitzer et al. 2006, PubMed
ID 16717171);
panic disorder with sensitivity 74%, specificity 81% (Kroenke
et al. 2010, PMID 20633738);
social anxiety with sensitivity 72%, specificity 80% (Kroenke
et al. 2010);
post-traumatic stress disorder with sensitivity 66%,
specificity 81% (Kroenke et al. 2010).
The majority of evidence contributing to these figures comes
from primary care screening studies.
</div>
"""
return h
def get_task_html(self):
tto_qol = self.get_tto_qol()
rs_qol = self.get_rs_qol()
mean_qol = mean([tto_qol, rs_qol])
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr("Mean QoL", answer(ws.number_to_dp(mean_qol, DP, default=None),
formatter_answer=identity))
h += u"""
</table>
</div>
<div class="explanation">
Quality of life (QoL) has anchor values of 0 (none) and 1
(perfect health), and can be asked about in several ways.
</div>
<table class="taskdetail">
<tr>
<th width="33%">Scale</th>
<th width="33%">Answer</th>
<td width="33%">Implied QoL</th>
</tr>
"""
h += tr(WSTRING("qolbasic_tto_q_s"),
answer(ws.number_to_dp(self.tto, DP, default=None)),
answer(ws.number_to_dp(tto_qol, DP, default=None),
formatter_answer=identity))
h += tr(WSTRING("qolbasic_rs_q_s"),
answer(ws.number_to_dp(self.rs, DP, default=None)),
answer(ws.number_to_dp(rs_qol, DP, default=None),
formatter_answer=identity))
h += u"""
</table>
"""
return h
def get_task_html(self):
score = self.total_score()
exceeds_threshold = self.exceeds_ross_threshold()
MAIN_DICT = {
None: None,
"Y": WSTRING("Yes"),
"N": WSTRING("No")
}
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 53")
h += tr_qa(WSTRING("mast_exceeds_threshold"),
get_yes_no(exceeds_threshold))
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="80%">Question</th>
<th width="20%">Answer</th>
</tr>
"""
for q in range(1, Mast.NQUESTIONS + 1):
h += tr(
WSTRING("mast_q" + str(q)),
(
answer(get_from_dict(MAIN_DICT,
getattr(self, "q" + str(q)))) +
answer(u" — " + str(self.get_score(q)))
)
)
h += u"""
</table>
"""
return h
def get_task_html(self):
score = self.total_score()
Q1_DICT = {None: None}
Q2_DICT = {None: None}
Q3_DICT = {None: None}
for option in xrange(0, 5):
Q1_DICT[option] = str(option) + u" – " + \
WSTRING("audit_q1_option" + str(option))
if option == 0: # special!
Q2_DICT[option] = str(option) + u" – " + \
WSTRING("audit_c_q2_option0")
else:
Q2_DICT[option] = str(option) + u" – " + \
WSTRING("audit_q2_option" + str(option))
Q3_DICT[option] = str(option) + u" – " + \
WSTRING("audit_q3to8_option" + str(option))
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 12")
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer</th>
</tr>
"""
h += tr_qa(WSTRING("audit_c_q1_question"),
get_from_dict(Q1_DICT, self.q1))
h += tr_qa(WSTRING("audit_c_q2_question"),
get_from_dict(Q2_DICT, self.q2))
h += tr_qa(WSTRING("audit_c_q3_question"),
get_from_dict(Q3_DICT, self.q3))
h += u"""
</table>
<div class="copyright">
AUDIT: Copyright © World Health Organization.
Reproduced here under the permissions granted for
NON-COMMERCIAL use only. You must obtain permission from the
copyright holder for any other use.
AUDIT-C: presumed to have the same restrictions.
</div>
"""
return h
def get_task_html(self):
score = self.total_score()
nsevere = self.num_severe()
somatoform_likely = nsevere >= 3
severity = self.severity()
ANSWER_DICT = {None: None}
for option in range(0, 3):
ANSWER_DICT[option] = str(option) + u" – " + \
WSTRING("phq15_a" + str(option))
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr(WSTRING("total_score") + " <sup>[1]</sup>",
answer(score) + " / 30")
h += tr_qa(WSTRING("phq15_n_severe_symptoms") + " <sup>[2]</sup>",
nsevere)
h += tr_qa(WSTRING("phq15_exceeds_somatoform_cutoff")
+ " <sup>[3]</sup>",
get_yes_no(somatoform_likely))
h += tr_qa(WSTRING("phq15_symptom_severity") + " <sup>[4]</sup>",
severity)
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="70%">Question</th>
<th width="30%">Answer</th>
</tr>
"""
for q in range(1, Phq15.NQUESTIONS + 1):
h += tr_qa(
WSTRING("phq15_q" + str(q)),
get_from_dict(ANSWER_DICT, getattr(self, "q" + str(q)))
)
h += u"""
</table>
<div class="footnotes">
[1] In males, maximum score is actually 28.
[2] Questions with scores ≥2 are considered severe.
[3] ≥3 severe symptoms.
[4] Total score ≥15 severe, ≥10 moderate, ≥5 mild,
otherwise none.
</div>
"""
return h
def get_task_html(self):
MAIN_DICT = {
None: None,
1: u"1 — " + WSTRING("wemwbs_a1"),
2: u"2 — " + WSTRING("wemwbs_a2"),
3: u"3 — " + WSTRING("wemwbs_a3"),
4: u"4 — " + WSTRING("wemwbs_a4"),
5: u"5 — " + WSTRING("wemwbs_a5")
}
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(
WSTRING("total_score"),
answer(self.total_score()) + u" (range {}–{})".format(
Swemwbs.MINTOTALSCORE,
Swemwbs.MAXTOTALSCORE
)
)
h += u"""
</table>
</div>
<div class="explanation">
Ratings are over the last 2 weeks.
</div>
<table class="taskdetail">
<tr>
<th width="60%">Question</th>
<th width="40%">Answer</th>
</tr>
"""
for i in range(1, Swemwbs.N_QUESTIONS + 1):
nstr = str(i)
h += tr_qa(WSTRING("swemwbs_q" + nstr),
get_from_dict(MAIN_DICT, getattr(self, "q" + nstr)))
h += u"""
</table>
<div class="copyright">
SWEMWBS: from Stewart-Brown et al. (2009), <i>Health and
Quality of Life Outcomes</i> 7:15,
http://www.hqlo.com/content/7/1/15;
© 2009 Stewart-Brown et al.; distributed under the terms of the
Creative Commons Attribution License.
</div>
"""
return h
def get_task_html(self):
MAIN_DICT = {
None: None,
0: u"0 — " + WSTRING("bprsold_option0"),
1: u"1 — " + WSTRING("bprsold_option1"),
2: u"2 — " + WSTRING("bprsold_option2"),
3: u"3 — " + WSTRING("bprsold_option3"),
4: u"4 — " + WSTRING("bprsold_option4"),
5: u"5 — " + WSTRING("bprsold_option5"),
6: u"6 — " + WSTRING("bprsold_option6"),
7: u"7 — " + WSTRING("bprsold_option7")
}
h = self.get_standard_clinician_block() + u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score") +
u" (0–168; 24–168 if all rated)",
answer(self.total_score()))
h += u"""
</table>
</div>
<div class="explanation">
Each question has specific answer definitions (see e.g. tablet
app).
</div>
<table class="taskdetail">
<tr>
<th width="60%">Question</th>
<th width="40%">Answer <sup>[1]</sup></th>
</tr>
"""
for i in range(1, Bprse.NQUESTIONS + 1):
h += tr_qa(
WSTRING("bprse_q" + str(i) + "_s"),
get_from_dict(MAIN_DICT, getattr(self, "q" + str(i)))
)
h += u"""
</table>
<div class="footnotes">
[1] All answers are in the range 1–7, or 0 (not assessed, for
some).
</div>
"""
return h
def get_task_html(self):
MAIN_DICT = {
None: None,
0: u"0 — " + WSTRING("fast_q1to3_option0"),
1: u"1 — " + WSTRING("fast_q1to3_option1"),
2: u"2 — " + WSTRING("fast_q1to3_option2"),
3: u"3 — " + WSTRING("fast_q1to3_option3"),
4: u"4 — " + WSTRING("fast_q1to3_option4"),
}
Q4_DICT = {
None: None,
0: u"0 — " + WSTRING("fast_q4_option0"),
2: u"2 — " + WSTRING("fast_q4_option2"),
4: u"4 — " + WSTRING("fast_q4_option4"),
}
h = u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(self.total_score()) + " / 16")
h += tr_qa(WSTRING("fast_positive") + " <sup>[1]</sup>",
get_yes_no(self.is_positive()))
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="60%">Question</th>
<th width="40%">Answer</th>
</tr>
"""
h += tr_qa(WSTRING("fast_q1"), get_from_dict(MAIN_DICT, self.q1))
h += tr_qa(WSTRING("fast_q2"), get_from_dict(MAIN_DICT, self.q2))
h += tr_qa(WSTRING("fast_q3"), get_from_dict(MAIN_DICT, self.q3))
h += tr_qa(WSTRING("fast_q4"), get_from_dict(Q4_DICT, self.q4))
h += u"""
</table>
<div class="footnotes">
[1] Negative if Q1 = 0. Positive if Q1 ≥ 3. Otherwise positive
if total score ≥ 3.
</div>
"""
return h
def get_task_html(self):
h = self.get_standard_clinician_block() + u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(self.total_score()) + " / 60")
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer <sup>[1]</sup></th>
</tr>
"""
h += tr_qa(WSTRING("honos_period_rated"), self.period_rated)
h += subheading_spanning_two_columns(
WSTRING("honosca_section_a_title"))
for i in range(1, 13 + 1):
h += tr_qa(
self.get_q(i),
self.get_answer(i, getattr(self, "q" + str(i)))
)
h += subheading_spanning_two_columns(
WSTRING("honosca_section_b_title"))
for i in range(14, Honosca.NQUESTIONS + 1):
h += tr_qa(
self.get_q(i),
self.get_answer(i, getattr(self, "q" + str(i)))
)
h += u"""
</table>
<div class="footnotes">
[1] 0 = no problem;
1 = minor problem requiring no action;
2 = mild problem but definitely present;
3 = moderately severe problem;
4 = severe to very severe problem;
9 = not known.
</div>
""" + Honos.COPYRIGHT_DIV
return h
def get_task_html(self):
score = self.total_score()
severity = self.severity()
ANSWER_DICTS = []
for q in range(1, Hama.NQUESTIONS + 1):
d = {None: None}
for option in range(0, 4):
d[option] = WSTRING("hama_q" + str(q) + "_option" +
str(option))
ANSWER_DICTS.append(d)
h = self.get_standard_clinician_block() + u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 56")
h += tr_qa(WSTRING("hama_symptom_severity") + " <sup>[1]</sup>",
severity)
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="50%">Question</th>
<th width="50%">Answer</th>
</tr>
"""
for q in range(1, Hama.NQUESTIONS + 1):
h += tr_qa(
WSTRING("hama_q" + str(q) + "_s") + " " + WSTRING(
"hama_q" + str(q) + "_question"),
get_from_dict(ANSWER_DICTS[q - 1], getattr(self, "q" + str(q)))
)
h += u"""
</table>
<div class="footnotes">
[1] ≥31 very severe, ≥25 moderate to severe,
≥18 mild to moderate, otherwise mild.
</div>
"""
return h
def get_task_html(self):
score = self.total_score()
severity = self.severity()
ANSWER_DICTS = []
for q in range(1, Hamd7.NQUESTIONS + 1):
d = {None: None}
for option in range(0, 5):
if q == 6 and option > 2:
continue
d[option] = WSTRING("hamd7_q" + str(q) + "_option" +
str(option))
ANSWER_DICTS.append(d)
h = self.get_standard_clinician_block() + u"""
<div class="summary">
<table class="summary">
""" + self.get_is_complete_tr()
h += tr(WSTRING("total_score"), answer(score) + " / 26")
h += tr_qa(WSTRING("hamd7_severity") + " <sup>[1]</sup>", severity)
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="30%">Question</th>
<th width="70%">Answer</th>
</tr>
"""
for q in range(1, Hamd7.NQUESTIONS + 1):
h += tr_qa(
WSTRING("hamd7_q" + str(q) + "_s"),
get_from_dict(ANSWER_DICTS[q - 1], getattr(self, "q" + str(q)))
)
h += u"""
</table>
<div class="footnotes">
[1] ≥20 severe, ≥12 moderate, ≥4 mild, <4 none.
</div>
"""
return h
def a(x):
"""Answer formatting for this task."""
return answer(x, formatter_answer=identity, default="")
def get_task_html(self):
tasktype = self.TASK_TYPE
score = self.total_score()
num_symptomatic = self.num_symptomatic()
num_symptomatic_B = self.num_symptomatic_B()
num_symptomatic_C = self.num_symptomatic_C()
num_symptomatic_D = self.num_symptomatic_D()
ptsd = self.ptsd()
ANSWER_DICT = {None: None}
for option in range(1, 6):
ANSWER_DICT[option] = str(option) + u" – " + \
WSTRING("pcl_option" + str(option))
h = u"""
<div class="summary">
<table class="summary">
"""
h += self.get_is_complete_tr()
h += tr_qa(u"{} (17–85)".format(WSTRING("total_score")),
score)
h += tr("Number symptomatic <sup>[1]</sup>: B, C, D (total)",
answer(num_symptomatic_B)
+ ", "
+ answer(num_symptomatic_C)
+ ", "
+ answer(num_symptomatic_D)
+ " ("
+ answer(num_symptomatic)
+ ")")
h += tr_qa(WSTRING("pcl_dsm_criteria_met") + " <sup>[2]</sup>",
get_yes_no(ptsd))
h += u"""
</table>
</div>
<table class="taskdetail">
<tr>
<th width="70%">Question</th>
<th width="30%">Answer</th>
</tr>
"""
if tasktype == "S":
h += tr_qa(WSTRING("pcl_s_event_s"), self.event)
h += tr_qa(WSTRING("pcl_s_eventdate_s"), self.eventdate)
for q in range(1, PclCommon.NQUESTIONS + 1):
if q == 1 or q == 6 or q == 13:
section = "B" if q == 1 else ("C" if q == 6 else "D")
h += subheading_spanning_two_columns(
"DSM section {}".format(section)
)
h += tr_qa(
WSTRING("pcl_q" + str(q) + "_s"),
get_from_dict(ANSWER_DICT, getattr(self, "q" + str(q)))
)
h += u"""
</table>
<div class="footnotes">
[1] Questions with scores ≥3 are considered symptomatic.
[2] ≥1 ‘B’ symptoms and ≥3 ‘C’ symptoms and
≥2 ‘D’ symptoms.
</div>
"""
return h
